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    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:大连工学院
    • 学位:学士
    • 所在单位:创新创业学院
    • 学科:应用数学
    • 电子邮箱:mfhe@dlut.edu.cn

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    Promotion of cooperation in evolutionary game dynamics with local information

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    论文类型:期刊论文

    发表时间:2018-01-21

    发表刊物:JOURNAL OF THEORETICAL BIOLOGY

    收录刊物:SCIE、PubMed

    卷号:437

    页面范围:1-8

    ISSN号:0022-5193

    关键字:Evolutionary game dynamics; Evolution of cooperation; Stochastic process; Local information

    摘要:In this paper, we propose a strategy-updating rule driven by local information, which is called Local process. Unlike the standard Moran process, the Local process does not require global information about the strategic environment. By analyzing the dynamical behavior of the system, we explore how the local information influences the fixation of cooperation in two-player evolutionary games. Under weak selection, the decreasing local information leads to an increase of the fixation probability when natural selection does not favor cooperation replacing defection. In the limit of sufficiently large selection, the analytical results indicate that the fixation probability increases with the decrease of the local information, irrespective of the evolutionary games. Furthermore, for the dominance of defection games under weak selection and for coexistence games, the decreasing of local information Will lead to a speedup of a single cooperator taking over the population. Overall, to some extent, the local information is conducive to promoting the cooperation. (C) 2017 Elsevier Ltd. All rights reserved.